Overview

Dataset statistics

Number of variables28
Number of observations29965
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 MiB
Average record size in memory196.0 B

Variable types

NUM21
BOOL6
CAT1

Warnings

BILL_AMT_AUG05 is highly correlated with BILL_AMT_SEP05 and 1 other fieldsHigh correlation
BILL_AMT_SEP05 is highly correlated with BILL_AMT_AUG05High correlation
BILL_AMT_JUL05 is highly correlated with BILL_AMT_AUG05 and 1 other fieldsHigh correlation
BILL_AMT_JUN05 is highly correlated with BILL_AMT_JUL05 and 2 other fieldsHigh correlation
BILL_AMT_MAY05 is highly correlated with BILL_AMT_JUN05 and 1 other fieldsHigh correlation
BILL_AMT_APR05 is highly correlated with BILL_AMT_JUN05 and 1 other fieldsHigh correlation
PAY_AMT_AUG05 is highly skewed (γ1 = 30.43861292) Skewed
df_index has unique values Unique
REPAY_SEP05 has 23169 (77.3%) zeros Zeros
REPAY_AUG05 has 25528 (85.2%) zeros Zeros
REPAY_JUL05 has 25753 (85.9%) zeros Zeros
REPAY_JUN05 has 26456 (88.3%) zeros Zeros
REPAY_MAY05 has 26998 (90.1%) zeros Zeros
REPAY_APR05 has 26887 (89.7%) zeros Zeros
BILL_AMT_SEP05 has 1978 (6.6%) zeros Zeros
BILL_AMT_AUG05 has 2476 (8.3%) zeros Zeros
BILL_AMT_JUL05 has 2840 (9.5%) zeros Zeros
BILL_AMT_JUN05 has 3165 (10.6%) zeros Zeros
BILL_AMT_MAY05 has 3476 (11.6%) zeros Zeros
BILL_AMT_APR05 has 3990 (13.3%) zeros Zeros
PAY_AMT_SEP05 has 5218 (17.4%) zeros Zeros
PAY_AMT_AUG05 has 5365 (17.9%) zeros Zeros
PAY_AMT_JUL05 has 5937 (19.8%) zeros Zeros
PAY_AMT_JUN05 has 6377 (21.3%) zeros Zeros
PAY_AMT_MAY05 has 6672 (22.3%) zeros Zeros
PAY_AMT_APR05 has 7142 (23.8%) zeros Zeros

Reproduction

Analysis started2021-01-29 14:59:53.471463
Analysis finished2021-01-29 15:01:56.268214
Duration2 minutes and 2.8 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct29965
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14993.93252
Minimum0
Maximum29999
Zeros1
Zeros (%)< 0.1%
Memory size234.1 KiB
2021-01-29T09:01:56.640200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1498.2
Q17496
median14991
Q322493
95-th percentile28495.8
Maximum29999
Range29999
Interquartile range (IQR)14997

Descriptive statistics

Standard deviation8659.328323
Coefficient of variation (CV)0.5775221618
Kurtosis-1.199841197
Mean14993.93252
Median Absolute Deviation (MAD)7499
Skewness0.0005462130641
Sum449293188
Variance74983967.01
MonotocityStrictly increasing
2021-01-29T09:01:56.995579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20471< 0.1%
 
13221< 0.1%
 
156291< 0.1%
 
94861< 0.1%
 
115351< 0.1%
 
217921< 0.1%
 
238411< 0.1%
 
176981< 0.1%
 
197471< 0.1%
 
299881< 0.1%
 
Other values (29955)29955> 99.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
299991< 0.1%
 
299981< 0.1%
 
299971< 0.1%
 
299961< 0.1%
 
299951< 0.1%
 

LIMIT_BAL
Real number (ℝ≥0)

Distinct81
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167442.005
Minimum10000
Maximum1000000
Zeros0
Zeros (%)0.0%
Memory size234.1 KiB
2021-01-29T09:01:57.426913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median140000
Q3240000
95-th percentile430000
Maximum1000000
Range990000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation129760.1352
Coefficient of variation (CV)0.7749556942
Kurtosis0.5375871217
Mean167442.005
Median Absolute Deviation (MAD)90000
Skewness0.9934913272
Sum5017399680
Variance1.683769269e+10
MonotocityNot monotonic
2021-01-29T09:01:57.846133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
50000336311.2%
 
2000019756.6%
 
3000016105.4%
 
8000015645.2%
 
20000015245.1%
 
15000011073.7%
 
10000010473.5%
 
1800009933.3%
 
3600008742.9%
 
600008252.8%
 
Other values (71)1508350.3%
 
ValueCountFrequency (%) 
100004931.6%
 
160002< 0.1%
 
2000019756.6%
 
3000016105.4%
 
400002300.8%
 
ValueCountFrequency (%) 
10000001< 0.1%
 
8000002< 0.1%
 
7800002< 0.1%
 
7600001< 0.1%
 
7500004< 0.1%
 

GENDER
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.1 KiB
0
18091 
1
11874 
ValueCountFrequency (%) 
01809160.4%
 
11187439.6%
 
2021-01-29T09:01:58.058337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

MARITAL_STATUS
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.1 KiB
2
15945 
1
13643 
3
 
323
0
 
54
ValueCountFrequency (%) 
21594553.2%
 
11364345.5%
 
33231.1%
 
0540.2%
 
2021-01-29T09:01:58.221017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-01-29T09:01:58.442750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:01:58.631055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

AGE
Real number (ℝ≥0)

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.4879693
Minimum21
Maximum79
Zeros0
Zeros (%)0.0%
Memory size234.1 KiB
2021-01-29T09:01:58.925139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q128
median34
Q341
95-th percentile53
Maximum79
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.219459233
Coefficient of variation (CV)0.2597911184
Kurtosis0.04398801494
Mean35.4879693
Median Absolute Deviation (MAD)6
Skewness0.7320560019
Sum1063397
Variance84.99842855
MonotocityNot monotonic
2021-01-29T09:01:59.162525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2916025.3%
 
2714754.9%
 
2814064.7%
 
3013944.7%
 
2612524.2%
 
3112134.0%
 
2511854.0%
 
3411613.9%
 
3211573.9%
 
3311463.8%
 
Other values (46)1697456.6%
 
ValueCountFrequency (%) 
21670.2%
 
225601.9%
 
239303.1%
 
2411263.8%
 
2511854.0%
 
ValueCountFrequency (%) 
791< 0.1%
 
753< 0.1%
 
741< 0.1%
 
734< 0.1%
 
723< 0.1%
 

REPAY_SEP05
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3564158185
Minimum0
Maximum8
Zeros23169
Zeros (%)77.3%
Memory size234.1 KiB
2021-01-29T09:01:59.428638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7607521242
Coefficient of variation (CV)2.134451068
Kurtosis12.46809493
Mean0.3564158185
Median Absolute Deviation (MAD)0
Skewness2.811995522
Sum10680
Variance0.5787437945
MonotocityNot monotonic
2021-01-29T09:01:59.572137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02316977.3%
 
1366712.2%
 
226668.9%
 
33221.1%
 
4760.3%
 
5260.1%
 
8190.1%
 
611< 0.1%
 
79< 0.1%
 
ValueCountFrequency (%) 
02316977.3%
 
1366712.2%
 
226668.9%
 
33221.1%
 
4760.3%
 
ValueCountFrequency (%) 
8190.1%
 
79< 0.1%
 
611< 0.1%
 
5260.1%
 
4760.3%
 

REPAY_AUG05
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3203403971
Minimum0
Maximum8
Zeros25528
Zeros (%)85.2%
Memory size234.1 KiB
2021-01-29T09:01:59.801462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8020642448
Coefficient of variation (CV)2.503787384
Kurtosis7.828288807
Mean0.3203403971
Median Absolute Deviation (MAD)0
Skewness2.597303525
Sum9599
Variance0.6433070527
MonotocityNot monotonic
2021-01-29T09:01:59.944297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02552885.2%
 
2392613.1%
 
33261.1%
 
4990.3%
 
1280.1%
 
5250.1%
 
7200.1%
 
612< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
02552885.2%
 
1280.1%
 
2392613.1%
 
33261.1%
 
4990.3%
 
ValueCountFrequency (%) 
81< 0.1%
 
7200.1%
 
612< 0.1%
 
5250.1%
 
4990.3%
 

REPAY_JUL05
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3042883364
Minimum0
Maximum8
Zeros25753
Zeros (%)85.9%
Memory size234.1 KiB
2021-01-29T09:02:00.196885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7906960258
Coefficient of variation (CV)2.598509148
Kurtosis10.46442158
Mean0.3042883364
Median Absolute Deviation (MAD)0
Skewness2.854576145
Sum9118
Variance0.6252002052
MonotocityNot monotonic
2021-01-29T09:02:00.399003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02575385.9%
 
2381912.7%
 
32400.8%
 
4750.3%
 
7270.1%
 
6230.1%
 
5210.1%
 
14< 0.1%
 
83< 0.1%
 
ValueCountFrequency (%) 
02575385.9%
 
14< 0.1%
 
2381912.7%
 
32400.8%
 
4750.3%
 
ValueCountFrequency (%) 
83< 0.1%
 
7270.1%
 
6230.1%
 
5210.1%
 
4750.3%
 

REPAY_JUN05
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2589354247
Minimum0
Maximum8
Zeros26456
Zeros (%)88.3%
Memory size234.1 KiB
2021-01-29T09:02:00.584550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7612003542
Coefficient of variation (CV)2.939730457
Kurtosis17.15228434
Mean0.2589354247
Median Absolute Deviation (MAD)0
Skewness3.545355069
Sum7759
Variance0.5794259792
MonotocityNot monotonic
2021-01-29T09:02:00.736919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
02645688.3%
 
2315910.5%
 
31800.6%
 
4680.2%
 
7580.2%
 
5350.1%
 
65< 0.1%
 
82< 0.1%
 
12< 0.1%
 
ValueCountFrequency (%) 
02645688.3%
 
12< 0.1%
 
2315910.5%
 
31800.6%
 
4680.2%
 
ValueCountFrequency (%) 
82< 0.1%
 
7580.2%
 
65< 0.1%
 
5350.1%
 
4680.2%
 

REPAY_MAY05
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2216252294
Minimum0
Maximum8
Zeros26998
Zeros (%)90.1%
Memory size234.1 KiB
2021-01-29T09:02:00.883137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.717768155
Coefficient of variation (CV)3.238657245
Kurtosis21.30683323
Mean0.2216252294
Median Absolute Deviation (MAD)0
Skewness3.965041328
Sum6641
Variance0.5151911244
MonotocityNot monotonic
2021-01-29T09:02:01.089067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02699890.1%
 
226268.8%
 
31780.6%
 
4830.3%
 
7580.2%
 
5170.1%
 
64< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
02699890.1%
 
226268.8%
 
31780.6%
 
4830.3%
 
5170.1%
 
ValueCountFrequency (%) 
81< 0.1%
 
7580.2%
 
64< 0.1%
 
5170.1%
 
4830.3%
 

REPAY_APR05
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2266978141
Minimum0
Maximum8
Zeros26887
Zeros (%)89.7%
Memory size234.1 KiB
2021-01-29T09:02:01.258316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7154828373
Coefficient of variation (CV)3.156108232
Kurtosis19.92946349
Mean0.2266978141
Median Absolute Deviation (MAD)0
Skewness3.81971703
Sum6793
Variance0.5119156905
MonotocityNot monotonic
2021-01-29T09:02:01.443599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
02688789.7%
 
227669.2%
 
31840.6%
 
4480.2%
 
7460.2%
 
6190.1%
 
513< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
02688789.7%
 
227669.2%
 
31840.6%
 
4480.2%
 
513< 0.1%
 
ValueCountFrequency (%) 
82< 0.1%
 
7460.2%
 
6190.1%
 
513< 0.1%
 
4480.2%
 

BILL_AMT_SEP05
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct22723
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51283.00978
Minimum-165580
Maximum964511
Zeros1978
Zeros (%)6.6%
Memory size234.1 KiB
2021-01-29T09:02:01.737508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-165580
5-th percentile0
Q13595
median22438
Q367260
95-th percentile201303.8
Maximum964511
Range1130091
Interquartile range (IQR)63665

Descriptive statistics

Standard deviation73658.1324
Coefficient of variation (CV)1.436306736
Kurtosis9.796846218
Mean51283.00978
Median Absolute Deviation (MAD)21842
Skewness2.662513456
Sum1536695388
Variance5425520469
MonotocityNot monotonic
2021-01-29T09:02:02.012157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019786.6%
 
3902430.8%
 
780760.3%
 
326720.2%
 
316630.2%
 
2500590.2%
 
396480.2%
 
2400390.1%
 
416290.1%
 
1050250.1%
 
Other values (22713)2733391.2%
 
ValueCountFrequency (%) 
-1655801< 0.1%
 
-1549731< 0.1%
 
-153081< 0.1%
 
-143861< 0.1%
 
-115451< 0.1%
 
ValueCountFrequency (%) 
9645111< 0.1%
 
7468141< 0.1%
 
6530621< 0.1%
 
6304581< 0.1%
 
6266481< 0.1%
 

BILL_AMT_AUG05
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct22346
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49236.36629
Minimum-69777
Maximum983931
Zeros2476
Zeros (%)8.3%
Memory size234.1 KiB
2021-01-29T09:02:02.295817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-69777
5-th percentile0
Q13010
median21295
Q364109
95-th percentile194889.6
Maximum983931
Range1053708
Interquartile range (IQR)61099

Descriptive statistics

Standard deviation71195.56739
Coefficient of variation (CV)1.445995567
Kurtosis10.29321199
Mean49236.36629
Median Absolute Deviation (MAD)20905
Skewness2.70386174
Sum1475367716
Variance5068808816
MonotocityNot monotonic
2021-01-29T09:02:02.574819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
024768.3%
 
3902300.8%
 
326750.3%
 
780750.3%
 
316720.2%
 
2500510.2%
 
396500.2%
 
2400420.1%
 
-200290.1%
 
416280.1%
 
Other values (22336)2683789.6%
 
ValueCountFrequency (%) 
-697771< 0.1%
 
-675261< 0.1%
 
-333501< 0.1%
 
-300001< 0.1%
 
-262141< 0.1%
 
ValueCountFrequency (%) 
9839311< 0.1%
 
7439701< 0.1%
 
6715631< 0.1%
 
6467701< 0.1%
 
6244751< 0.1%
 

BILL_AMT_JUL05
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct22026
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47067.91607
Minimum-157264
Maximum1664089
Zeros2840
Zeros (%)9.5%
Memory size234.1 KiB
2021-01-29T09:02:02.859577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-157264
5-th percentile0
Q12711
median20135
Q360201
95-th percentile187901
Maximum1664089
Range1821353
Interquartile range (IQR)57490

Descriptive statistics

Standard deviation69371.35232
Coefficient of variation (CV)1.473856464
Kurtosis19.77100256
Mean47067.91607
Median Absolute Deviation (MAD)19745
Skewness3.086493832
Sum1410390105
Variance4812384523
MonotocityNot monotonic
2021-01-29T09:02:03.068801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
028409.5%
 
3902740.9%
 
780740.2%
 
326630.2%
 
316620.2%
 
396470.2%
 
2500400.1%
 
2400390.1%
 
416290.1%
 
200270.1%
 
Other values (22016)2647088.3%
 
ValueCountFrequency (%) 
-1572641< 0.1%
 
-615061< 0.1%
 
-461271< 0.1%
 
-340411< 0.1%
 
-254431< 0.1%
 
ValueCountFrequency (%) 
16640891< 0.1%
 
8550861< 0.1%
 
6931311< 0.1%
 
6896431< 0.1%
 
6896271< 0.1%
 

BILL_AMT_JUN05
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct21548
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43313.32988
Minimum-170000
Maximum891586
Zeros3165
Zeros (%)10.6%
Memory size234.1 KiB
2021-01-29T09:02:03.345047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-170000
5-th percentile0
Q12360
median19081
Q354601
95-th percentile174469.8
Maximum891586
Range1061586
Interquartile range (IQR)52241

Descriptive statistics

Standard deviation64353.51437
Coefficient of variation (CV)1.485766958
Kurtosis11.29858229
Mean43313.32988
Median Absolute Deviation (MAD)18681
Skewness2.820544832
Sum1297883930
Variance4141374812
MonotocityNot monotonic
2021-01-29T09:02:03.558571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0316510.6%
 
3902450.8%
 
7801010.3%
 
316680.2%
 
326620.2%
 
396430.1%
 
150390.1%
 
2400390.1%
 
2500340.1%
 
1000330.1%
 
Other values (21538)2613687.2%
 
ValueCountFrequency (%) 
-1700001< 0.1%
 
-813341< 0.1%
 
-651671< 0.1%
 
-506161< 0.1%
 
-466271< 0.1%
 
ValueCountFrequency (%) 
8915861< 0.1%
 
7068641< 0.1%
 
6286991< 0.1%
 
6168361< 0.1%
 
5728051< 0.1%
 

BILL_AMT_MAY05
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct21010
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40358.33439
Minimum-81334
Maximum927171
Zeros3476
Zeros (%)11.6%
Memory size234.1 KiB
2021-01-29T09:02:03.751237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-81334
5-th percentile0
Q11787
median18130
Q350247
95-th percentile165805.6
Maximum927171
Range1008505
Interquartile range (IQR)48460

Descriptive statistics

Standard deviation60817.13062
Coefficient of variation (CV)1.506928657
Kurtosis12.29453891
Mean40358.33439
Median Absolute Deviation (MAD)17714
Skewness2.874925049
Sum1209337490
Variance3698723377
MonotocityNot monotonic
2021-01-29T09:02:03.941194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0347611.6%
 
3902340.8%
 
780940.3%
 
316790.3%
 
326620.2%
 
150580.2%
 
396460.2%
 
2400390.1%
 
2500370.1%
 
416360.1%
 
Other values (21000)2580486.1%
 
ValueCountFrequency (%) 
-813341< 0.1%
 
-613721< 0.1%
 
-530071< 0.1%
 
-466271< 0.1%
 
-375941< 0.1%
 
ValueCountFrequency (%) 
9271711< 0.1%
 
8235401< 0.1%
 
5870671< 0.1%
 
5517021< 0.1%
 
5478801< 0.1%
 

BILL_AMT_APR05
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct20604
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38917.01228
Minimum-339603
Maximum961664
Zeros3990
Zeros (%)13.3%
Memory size234.1 KiB
2021-01-29T09:02:04.338099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-339603
5-th percentile0
Q11262
median17124
Q349252
95-th percentile161932
Maximum961664
Range1301267
Interquartile range (IQR)47990

Descriptive statistics

Standard deviation59574.14774
Coefficient of variation (CV)1.530799623
Kurtosis12.25912611
Mean38917.01228
Median Absolute Deviation (MAD)16808
Skewness2.845137169
Sum1166148273
Variance3549079079
MonotocityNot monotonic
2021-01-29T09:02:04.822501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0399013.3%
 
3902060.7%
 
780860.3%
 
150780.3%
 
316770.3%
 
326560.2%
 
396440.1%
 
416360.1%
 
-18330.1%
 
2400320.1%
 
Other values (20594)2532784.5%
 
ValueCountFrequency (%) 
-3396031< 0.1%
 
-2090511< 0.1%
 
-1509531< 0.1%
 
-946251< 0.1%
 
-738951< 0.1%
 
ValueCountFrequency (%) 
9616641< 0.1%
 
6999441< 0.1%
 
5686381< 0.1%
 
5277111< 0.1%
 
5275661< 0.1%
 

PAY_AMT_SEP05
Real number (ℝ≥0)

ZEROS

Distinct7943
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5670.099316
Minimum0
Maximum873552
Zeros5218
Zeros (%)17.4%
Memory size234.1 KiB
2021-01-29T09:02:05.228733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median2102
Q35008
95-th percentile18447.2
Maximum873552
Range873552
Interquartile range (IQR)4008

Descriptive statistics

Standard deviation16571.84947
Coefficient of variation (CV)2.92267358
Kurtosis414.8548633
Mean5670.099316
Median Absolute Deviation (MAD)1929
Skewness14.66159454
Sum169904526
Variance274626194.7
MonotocityNot monotonic
2021-01-29T09:02:05.896996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0521817.4%
 
200013634.5%
 
30008913.0%
 
50006982.3%
 
15005071.7%
 
40004261.4%
 
100004011.3%
 
10003651.2%
 
25002981.0%
 
60002941.0%
 
Other values (7933)1950465.1%
 
ValueCountFrequency (%) 
0521817.4%
 
19< 0.1%
 
214< 0.1%
 
3150.1%
 
4180.1%
 
ValueCountFrequency (%) 
8735521< 0.1%
 
5050001< 0.1%
 
4933581< 0.1%
 
4239031< 0.1%
 
4050161< 0.1%
 

PAY_AMT_AUG05
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7899
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5927.98318
Minimum0
Maximum1684259
Zeros5365
Zeros (%)17.9%
Memory size234.1 KiB
2021-01-29T09:02:06.177228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1850
median2010
Q35000
95-th percentile19030.8
Maximum1684259
Range1684259
Interquartile range (IQR)4150

Descriptive statistics

Standard deviation23053.45664
Coefficient of variation (CV)3.888920724
Kurtosis1639.924451
Mean5927.98318
Median Absolute Deviation (MAD)1990
Skewness30.43861292
Sum177632016
Variance531461863.3
MonotocityNot monotonic
2021-01-29T09:02:06.456574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0536517.9%
 
200012904.3%
 
30008572.9%
 
50007172.4%
 
10005942.0%
 
15005211.7%
 
40004101.4%
 
100003181.1%
 
60002830.9%
 
25002510.8%
 
Other values (7889)1935964.6%
 
ValueCountFrequency (%) 
0536517.9%
 
1150.1%
 
2200.1%
 
3180.1%
 
411< 0.1%
 
ValueCountFrequency (%) 
16842591< 0.1%
 
12270821< 0.1%
 
12154711< 0.1%
 
10245161< 0.1%
 
5804641< 0.1%
 

PAY_AMT_JUL05
Real number (ℝ≥0)

ZEROS

Distinct7518
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5231.688837
Minimum0
Maximum896040
Zeros5937
Zeros (%)19.8%
Memory size234.1 KiB
2021-01-29T09:02:06.737353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1390
median1804
Q34512
95-th percentile17602.6
Maximum896040
Range896040
Interquartile range (IQR)4122

Descriptive statistics

Standard deviation17616.36112
Coefficient of variation (CV)3.367241759
Kurtosis563.7392771
Mean5231.688837
Median Absolute Deviation (MAD)1796
Skewness17.2081766
Sum156767556
Variance310336179.3
MonotocityNot monotonic
2021-01-29T09:02:06.936883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0593719.8%
 
200012854.3%
 
100011033.7%
 
30008702.9%
 
50007212.4%
 
15004901.6%
 
40003811.3%
 
100003121.0%
 
12002430.8%
 
60002410.8%
 
Other values (7508)1838261.3%
 
ValueCountFrequency (%) 
0593719.8%
 
113< 0.1%
 
2190.1%
 
314< 0.1%
 
4150.1%
 
ValueCountFrequency (%) 
8960401< 0.1%
 
8890431< 0.1%
 
5082291< 0.1%
 
4175881< 0.1%
 
4009721< 0.1%
 

PAY_AMT_JUN05
Real number (ℝ≥0)

ZEROS

Distinct6937
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4831.617454
Minimum0
Maximum621000
Zeros6377
Zeros (%)21.3%
Memory size234.1 KiB
2021-01-29T09:02:07.144416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1300
median1500
Q34016
95-th percentile16037
Maximum621000
Range621000
Interquartile range (IQR)3716

Descriptive statistics

Standard deviation15674.46454
Coefficient of variation (CV)3.244144365
Kurtosis277.0486932
Mean4831.617454
Median Absolute Deviation (MAD)1500
Skewness12.89850649
Sum144779417
Variance245688838.5
MonotocityNot monotonic
2021-01-29T09:02:07.336103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0637721.3%
 
100013944.7%
 
200012144.1%
 
30008873.0%
 
50008102.7%
 
15004411.5%
 
40004021.3%
 
100003411.1%
 
25002590.9%
 
5002580.9%
 
Other values (6927)1758258.7%
 
ValueCountFrequency (%) 
0637721.3%
 
1220.1%
 
2220.1%
 
313< 0.1%
 
4200.1%
 
ValueCountFrequency (%) 
6210001< 0.1%
 
5288971< 0.1%
 
4970001< 0.1%
 
4321301< 0.1%
 
4000461< 0.1%
 

PAY_AMT_MAY05
Real number (ℝ≥0)

ZEROS

Distinct6897
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4804.897047
Minimum0
Maximum426529
Zeros6672
Zeros (%)22.3%
Memory size234.1 KiB
2021-01-29T09:02:07.537466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1261
median1500
Q34042
95-th percentile16000
Maximum426529
Range426529
Interquartile range (IQR)3781

Descriptive statistics

Standard deviation15286.3723
Coefficient of variation (CV)3.181415158
Kurtosis179.8752095
Mean4804.897047
Median Absolute Deviation (MAD)1500
Skewness11.12174174
Sum143978740
Variance233673178
MonotocityNot monotonic
2021-01-29T09:02:07.717099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0667222.3%
 
100013404.5%
 
200013234.4%
 
30009473.2%
 
50008142.7%
 
15004261.4%
 
40004011.3%
 
100003431.1%
 
5002500.8%
 
60002470.8%
 
Other values (6887)1720257.4%
 
ValueCountFrequency (%) 
0667222.3%
 
1210.1%
 
213< 0.1%
 
313< 0.1%
 
412< 0.1%
 
ValueCountFrequency (%) 
4265291< 0.1%
 
4179901< 0.1%
 
3880711< 0.1%
 
3792671< 0.1%
 
3320001< 0.1%
 

PAY_AMT_APR05
Real number (ℝ≥0)

ZEROS

Distinct6939
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5221.498014
Minimum0
Maximum528666
Zeros7142
Zeros (%)23.8%
Memory size234.1 KiB
2021-01-29T09:02:07.911460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1131
median1500
Q34000
95-th percentile17384.4
Maximum528666
Range528666
Interquartile range (IQR)3869

Descriptive statistics

Standard deviation17786.97686
Coefficient of variation (CV)3.406489252
Kurtosis166.9817897
Mean5221.498014
Median Absolute Deviation (MAD)1500
Skewness10.63509397
Sum156462188
Variance316376546
MonotocityNot monotonic
2021-01-29T09:02:08.149187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0714223.8%
 
100012994.3%
 
200012954.3%
 
30009143.1%
 
50008082.7%
 
15004391.5%
 
40004111.4%
 
100003561.2%
 
5002470.8%
 
60002200.7%
 
Other values (6929)1683456.2%
 
ValueCountFrequency (%) 
0714223.8%
 
1200.1%
 
29< 0.1%
 
314< 0.1%
 
412< 0.1%
 
ValueCountFrequency (%) 
5286661< 0.1%
 
5271431< 0.1%
 
4430011< 0.1%
 
4220001< 0.1%
 
4035001< 0.1%
 

DEFAULT
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.1 KiB
1
23335 
0
6630 
ValueCountFrequency (%) 
12333577.9%
 
0663022.1%
 
2021-01-29T09:02:08.321896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.3 KiB
0
19402 
1
10563 
ValueCountFrequency (%) 
01940264.7%
 
11056335.3%
 
2021-01-29T09:02:08.376498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.3 KiB
0
25050 
1
4915 
ValueCountFrequency (%) 
02505083.6%
 
1491516.4%
 
2021-01-29T09:02:08.427947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.3 KiB
0
29497 
1
 
468
ValueCountFrequency (%) 
02949798.4%
 
14681.6%
 
2021-01-29T09:02:08.490624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.3 KiB
0
15946 
1
14019 
ValueCountFrequency (%) 
01594653.2%
 
11401946.8%
 
2021-01-29T09:02:08.554631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Interactions

2021-01-29T09:00:09.335085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:09.680652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:09.886941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:10.150689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:10.701019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:11.008699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:11.200398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:11.382425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:11.572358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:11.738120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:11.901403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:12.078817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:12.268532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:12.611580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:12.789507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:12.966083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:13.352470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:13.603298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:13.876686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:14.178586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:14.412763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:14.652041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:14.870284image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:15.082024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:15.269572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:15.459655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:15.641755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:15.856923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:16.073014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:16.295004image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:16.567085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:16.739681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:16.938728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:17.184119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:17.426379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:17.658262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:17.875925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:18.095512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:18.358350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:18.595433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:18.817189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:19.180491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:19.443184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:19.635938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:19.845161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:20.090759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:20.278628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:20.490012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:20.693414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:20.876641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:24.023232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:24.192545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:24.374414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:24.587400image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:24.776694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:24.977143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:25.181744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:25.404894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:25.608524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2021-01-29T09:00:25.811115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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Correlations

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Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-01-29T09:02:09.396762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-01-29T09:02:09.994422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-01-29T09:02:10.611807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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2021-01-29T09:01:55.710659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

df_indexLIMIT_BALGENDERMARITAL_STATUSAGEREPAY_SEP05REPAY_AUG05REPAY_JUL05REPAY_JUN05REPAY_MAY05REPAY_APR05BILL_AMT_SEP05BILL_AMT_AUG05BILL_AMT_JUL05BILL_AMT_JUN05BILL_AMT_MAY05BILL_AMT_APR05PAY_AMT_SEP05PAY_AMT_AUG05PAY_AMT_JUL05PAY_AMT_JUN05PAY_AMT_MAY05PAY_AMT_APR05DEFAULTEDUCATION_graduate schoolEDUCATION_high schoolEDUCATION_otherEDUCATION_university
00200000124220000391331026890000689000000001
11120000022602000226821725268232723455326101000100010000200000001
2290000023400000029239140271355914331149481554915181500100010001000500010001
3350000013700000046990482334929128314289592954720002019120011001069100010001
44500001157000000861756703583520940191461913120003668110000900068967910001
55500001237000000644005706957608193941961920024250018156571000100080011000
66500000122900000036796541202344500754265348300347394455000400003800020239137501377011000
77100000022300000011876380601221-15956738060105811687154210001
881400000128002000112851409612108122111179337193329043210001000100010100
9920000123500000000001300713912000130071122010100

Last rows

df_indexLIMIT_BALGENDERMARITAL_STATUSAGEREPAY_SEP05REPAY_AUG05REPAY_JUL05REPAY_JUN05REPAY_MAY05REPAY_APR05BILL_AMT_SEP05BILL_AMT_AUG05BILL_AMT_JUL05BILL_AMT_JUN05BILL_AMT_MAY05BILL_AMT_APR05PAY_AMT_SEP05PAY_AMT_AUG05PAY_AMT_JUL05PAY_AMT_JUN05PAY_AMT_MAY05PAY_AMT_APR05DEFAULTEDUCATION_graduate schoolEDUCATION_high schoolEDUCATION_otherEDUCATION_university
29955299901400001141000000138325137142139110138262496754612160007000422815052000200010001
2995629991210000113432222225002500250025002500250000000000001
2995729992100001143000000880210400000020000000010100
29958299931000001238000000304214271029967062669473550042000111784400030002000200011000
299592999480000123422222272557777087938477519826078115870003500070000400000001
29960299952200001139000000188948192815208365880043123715980850020000500330475000100010100
299612999615000012430000001683182835028979519001837352689981290010100
2996229997300001237432000356533562758208782058219357002200042002000310000001
2996329998800001141100000-164578379763045277411855489448590034091178192652964180400100
299642999950000114600000047929489054976436535324281531320781800143010001000100000001